{"id":"https://openalex.org/W2055922511","doi":"https://doi.org/10.1109/iros.2014.6942732","title":"Extraction of person-specific motion style based on a task model and imitation by humanoid robot","display_name":"Extraction of person-specific motion style based on a task model and imitation by humanoid robot","publication_year":2014,"publication_date":"2014-09-01","ids":{"openalex":"https://openalex.org/W2055922511","doi":"https://doi.org/10.1109/iros.2014.6942732","mag":"2055922511"},"language":"en","primary_location":{"id":"doi:10.1109/iros.2014.6942732","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2014.6942732","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE/RSJ International Conference on Intelligent Robots and Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110162380","display_name":"T. Okamoto","orcid":null},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"T. Okamoto","raw_affiliation_strings":["University of Tokyo, Japan","University of Tokyo, , Japan"],"affiliations":[{"raw_affiliation_string":"University of Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"University of Tokyo, , Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109033838","display_name":"T. Shiratori","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"T. Shiratori","raw_affiliation_strings":["Microsoft Research Asia, Microsoft Corporation, China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Microsoft Corporation, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061820022","display_name":"Matthew Glisson","orcid":null},"institutions":[{"id":"https://openalex.org/I4210142140","display_name":"Walt Disney (United States)","ror":"https://ror.org/04eg47h42","country_code":"US","type":"company","lineage":["https://openalex.org/I4210142140"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M. Glisson","raw_affiliation_strings":["Disney Research, Pittsburgh, USA"],"affiliations":[{"raw_affiliation_string":"Disney Research, Pittsburgh, USA","institution_ids":["https://openalex.org/I4210142140"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062092630","display_name":"Katsu Yamane","orcid":"https://orcid.org/0000-0002-6056-9210"},"institutions":[{"id":"https://openalex.org/I4210142140","display_name":"Walt Disney (United States)","ror":"https://ror.org/04eg47h42","country_code":"US","type":"company","lineage":["https://openalex.org/I4210142140"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"K. Yamane","raw_affiliation_strings":["Disney Research, Pittsburgh, USA"],"affiliations":[{"raw_affiliation_string":"Disney Research, Pittsburgh, USA","institution_ids":["https://openalex.org/I4210142140"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074857320","display_name":"Satoshi Kudoh","orcid":"https://orcid.org/0000-0001-7118-1628"},"institutions":[{"id":"https://openalex.org/I20529979","display_name":"University of Electro-Communications","ror":"https://ror.org/02x73b849","country_code":"JP","type":"education","lineage":["https://openalex.org/I20529979"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"S. Kudoh","raw_affiliation_strings":["University of Electro-Communications, Japan","University of Electro-Communications (Japan)"],"affiliations":[{"raw_affiliation_string":"University of Electro-Communications, Japan","institution_ids":["https://openalex.org/I20529979"]},{"raw_affiliation_string":"University of Electro-Communications (Japan)","institution_ids":["https://openalex.org/I20529979"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109558480","display_name":"Katsushi Ikeuchi","orcid":null},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"K. Ikeuchi","raw_affiliation_strings":["University of Tokyo, Japan","University of Tokyo, , Japan"],"affiliations":[{"raw_affiliation_string":"University of Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"University of Tokyo, , Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5110162380"],"corresponding_institution_ids":["https://openalex.org/I74801974"],"apc_list":null,"apc_paid":null,"fwci":1.623,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.85843688,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1347","last_page":"1354"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/humanoid-robot","display_name":"Humanoid robot","score":0.8070502281188965},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7034587264060974},{"id":"https://openalex.org/keywords/imitation","display_name":"Imitation","score":0.6718608736991882},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.670857846736908},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6512249112129211},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5619992613792419},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5327810049057007},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5062602758407593},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5005054473876953},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.49292683601379395},{"id":"https://openalex.org/keywords/social-robot","display_name":"Social robot","score":0.4879545569419861},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.48783352971076965},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.32200485467910767},{"id":"https://openalex.org/keywords/robot-control","display_name":"Robot control","score":0.2635096311569214},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.06790760159492493}],"concepts":[{"id":"https://openalex.org/C60692881","wikidata":"https://www.wikidata.org/wiki/Q584529","display_name":"Humanoid robot","level":3,"score":0.8070502281188965},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7034587264060974},{"id":"https://openalex.org/C126388530","wikidata":"https://www.wikidata.org/wiki/Q1131737","display_name":"Imitation","level":2,"score":0.6718608736991882},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.670857846736908},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6512249112129211},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5619992613792419},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5327810049057007},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5062602758407593},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5005054473876953},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.49292683601379395},{"id":"https://openalex.org/C162947575","wikidata":"https://www.wikidata.org/wiki/Q2005645","display_name":"Social robot","level":5,"score":0.4879545569419861},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.48783352971076965},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.32200485467910767},{"id":"https://openalex.org/C65401140","wikidata":"https://www.wikidata.org/wiki/Q7353385","display_name":"Robot control","level":4,"score":0.2635096311569214},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.06790760159492493},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros.2014.6942732","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2014.6942732","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE/RSJ International Conference on Intelligent Robots and Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1611306188","https://openalex.org/W1952664243","https://openalex.org/W1985776666","https://openalex.org/W1986698905","https://openalex.org/W2020957269","https://openalex.org/W2033208083","https://openalex.org/W2045661150","https://openalex.org/W2066407408","https://openalex.org/W2109026728","https://openalex.org/W2109244124","https://openalex.org/W2124926399","https://openalex.org/W2127624438","https://openalex.org/W2128677288","https://openalex.org/W2140009279","https://openalex.org/W2151693201","https://openalex.org/W2155748157","https://openalex.org/W2158794687","https://openalex.org/W2165102974","https://openalex.org/W2293741035","https://openalex.org/W2598306943","https://openalex.org/W2913777010","https://openalex.org/W6676571245","https://openalex.org/W6758898665"],"related_works":["https://openalex.org/W2632090827","https://openalex.org/W2733539336","https://openalex.org/W2689112224","https://openalex.org/W2160792351","https://openalex.org/W1593091151","https://openalex.org/W2542221445","https://openalex.org/W177694623","https://openalex.org/W2153355016","https://openalex.org/W2953790200","https://openalex.org/W2079483114"],"abstract_inverted_index":{"In":[0,96],"this":[1,97],"paper,":[2,98],"we":[3,18,99,129,152],"present":[4],"a":[5,53,65,105,131,156,165],"humanoid":[6,167],"robot":[7,135,162,186,189],"which":[8,17,45,59,140],"extracts":[9],"and":[10,24,38,69,87,117,160,182],"imitates":[11,190],"the":[12,83,88,93,115,119,124,191,198,206,209],"person-specific":[13],"differences":[14],"in":[15,82,109,123],"motions,":[16],"will":[19],"call":[20],"style.":[21],"Synthesizing":[22],"human-like":[23],"stylistic":[25],"motion":[26,107],"variations":[27],"according":[28],"to":[29,62,70,74,155,208],"specific":[30],"scenarios":[31],"is":[32,42,67,79],"becoming":[33],"important":[34],"for":[35,164,184],"entertainment":[36],"robots,":[37],"imitation":[39],"of":[40,85,90,104,121,126,133,172,193,200],"styles":[41,81,122,139,192],"one":[43],"variation":[44],"makes":[46],"robots":[47,61],"more":[48],"amiable.":[49],"Our":[50],"approach":[51],"extends":[52],"learning":[54],"from":[55,144,170,179],"observation":[56],"(LFO)":[57],"paradigm":[58],"enables":[60],"understand":[63],"what":[64],"human":[66,112,145],"doing":[68],"extract":[71],"reusable":[72,94],"essences":[73],"be":[75],"learned.":[76],"The":[77,188],"focus":[78],"on":[80],"domain":[84],"LFO":[86],"representation":[89,120],"them":[91],"using":[92],"essences.":[95],"design":[100],"an":[101],"abstract":[102],"model":[103],"target":[106],"defined":[108],"LFO,":[110],"observe":[111],"demonstrations":[113],"through":[114],"model,":[116],"formulate":[118],"context":[125],"LFO.":[127],"Then":[128],"introduce":[130],"framework":[132],"generating":[134,185],"motions":[136,163],"that":[137],"reflect":[138],"are":[141],"automatically":[142,178],"extracted":[143,177],"demonstrations.":[146],"To":[147],"verify":[148],"our":[149],"proposed":[150],"method":[151],"applied":[153],"it":[154],"ring":[157],"toss":[158],"game,":[159],"generated":[161],"physical":[166,202],"robot.":[168],"Styles":[169],"each":[171,194],"three":[173],"random":[174],"players":[175],"were":[176],"their":[180],"demonstrations,":[181],"used":[183],"motions.":[187],"player":[195],"without":[196],"exceeding":[197],"limitation":[199],"its":[201],"constraints,":[203],"while":[204],"tossing":[205],"rings":[207],"goal.":[210]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}